Industrial Data and the Internet of Things

New insights from sensor- and device-generated big data

New generations of connected machines are joining the world's networks at an astounding pace. Broadly called the "Internet of Things" (IoT), these devices and associated technologies are rapidly becoming one of the greatest big data challenges ever faced. The data produced by the Internet of Things, sometimes called industrial data, is as diverse as the machines themselves, and can represent anything from embedded sensor data to user interaction logs. Gaining insight from this new type of machine data can be a challenge for traditional business intelligence tools.

Delivering Value from the IoT with the Platform for Machine Data

Splunk is the platform for machine data, including data from sensors, devices and mechanical systems. Device manufacturers, enterprises with a large number of connected devices and industrial facilities use Splunk to gain new levels of Operational Intelligence and greater value from their machine data. They are using Splunk in a variety of ways, including:

  • Device Application Management: Improve insight into application and service performance, and reduce service downtime.
  • Device and Network Troubleshooting and Management: Better manage device uptime and availability, including battery status and network connectivity.
  • Device Security and Compliance: Reduce security incidents and prevent data breaches across devices, services and apps.
  • Device and End User Data Business Analytics: Better understand device, application and service data to deliver new business insights.

IoT Use Cases

Innovative companies across several industries are using Splunk to gain ROI and insights into data generated by the Internet of Things. Here are some examples:

Mechanical System Sensor Data to Reduce Customer Churn

Complex mechanical systems include a wide variety of sensors that collect a broad range of data in real time. Timely insights from this data can drive significant business outcomes and efficiencies. One Splunk customer who is taking advantage of this strategy is the services arm of a leading elevator manufacturer.

By using Splunk instead of a relational database to store, analyze and visualize data from elevator sensors, the service provider has a deeper understanding of how clients use their elevators. For example, with new usage analytics the service provider can understand a number of key building usage trends. They use this data to identify customers likely to let service contracts lapse and proactively reach out to renew agreements.

Sensor Data Insights Improve Energy Efficiency

One of the greatest difficulties in improving the energy efficiency of commercial facilities is to integrate the data generated by the wide array of systems and devices used to control discrete building and campus operations. These devices can include thermostats, pumps, chillers, commercial air-handling equipment and cooling towers and may already be managed by various legacy applications from several vendors.

Splunk's ability to easily integrate data from often siloed facility management and industrial control systems and sensors, and its powerful search language and analytics makes it a perfect match for these challenges. McKenney's, a leading mechanical contracting and engineering firm, is using Splunk to provide their customers business analytics from sensor data, mechanical systems, smart metering systems and energy management software. Using McKenney's Splunk-based solutions, building engineers and property managers are able to optimize their operations, manage energy consumption and drive greater operational efficiencies.

Medical Informatics Enable Connected Hospitals

Due to the rapid introduction of connected devices in hospitals, informatics is becoming a key area of focus for healthcare IT. A leading hospital chain with over 150 hospitals is using Splunk to monitor and gain insight from data generated by over 4,000 mobile devices that collect various patient vital signs.

With Splunk, the hospital is able to rapidly discover insights from medical device data to help drive adoption of the devices and ensure compliance with HITECH meaningful use provisions. It has also enabled them to save millions of dollars in incremental costs by ensuring effective usage of the devices.

Telematics Data Enhances Transportation Safety and Fuel Efficiency

Telematics systems are being adopted throughout transportation industries. Like many other types of sensor data, telematics data is often hard to process and analyze using traditional technologies. New York Air Brake (NYAB), a leading provider of rail technology, is using Splunk to gather operational insights from the big data produced by train management systems.

By indexing and analyzing data from these systems, NYAB can now provide customers new insights into key performance indicators such as driver compliance, fuel savings, impact on time to destination and inter-train forces. This invaluable information is helping NYAB customers to improve train safety, drive fuel efficiency and enhance operational performance.

Why Splunk

Splunk goes beyond the hype of big data and delivers the promise of what IOT data could bring to your business. It gives device manufacturers, customers using large number of connected devices and industrial facilities the ability to tap into the big data generated by these sources and gain tangible results today.

How Splunk technology lets you gather real value from the Internet of Things:

  • Any Data From Any Source - Collect and index any machine-generated data from virtually any source or location in real time.
  • Correlates Complex Events - Correlate complex events spanning many diverse data sources across your devices and applications without being constrained by pre-defined schemas.
  • Enterprise-class Scale, Resilience and Interoperability - Splunk Enterprise scales to collect and index tens of terabytes of data per day.
  • Powerful Analytics - Report and analyze and empower users across IT and the business to analyze data from the Internet of Things.
  • Complements Existing Investments - Gain new insights from new data sources while leveraging existing technology investments.